Lead Data Engineer job at HealthCare.com in CT, DE, ME, MA, MD, NH, NJ, NY, PA, RI, VT
Title: Lead Data Engineer
Location: Northeast - CT United States
Job Description:
Join Us!
HealthCare.com has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, the company has developed customized proprietary products to better fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance.
About the Role
We’re hiring a Data Engineer to help own and scale our core data platform. This role is hands-on and production-focused: you’ll design, build, and maintain data pipelines that power analytics, machine learning, and operational systems.
We’re especially interested in candidates who combine strong data engineering fundamentals with either analytics depth or DevOps / platform experience.
What You’ll Do
Design, build, and maintain production-grade data pipelines using Airflow and AWS services like Lambda, DynamoDB
Own data ingestion from internal systems and third-party integrations (e.g., Google, Bing, external APIs).
Manage data storage and movement across S3, Snowflake, Snowpipe, and DynamoDB.
Write and maintain custom Python code that runs reliably in production.
Work across dev, staging, and production environments with proper deployment and rollback practices.
Partner with analytics, data science, and product teams to design reliable, usable data models.
Review code, mentor junior engineers, and help establish best practices for data quality, reliability, and observability.
Identify and fix performance, cost, or reliability issues in existing pipelines.
What We’re Looking For
Core Requirements
Strong experience building and maintaining production data pipelines.
Deep comfort with Python for data engineering (not just scripting).
Hands-on experience with Airflow in a real production environment.
Experience working in AWS, including S3 and managed services.
Solid SQL skills and experience working with analytical warehouses (Snowflake strongly preferred).
Experience operating systems across multiple environments (dev / prd).
Ability to mentor others through code review, design discussions, and troubleshooting.
Bonus Skills
Experience with Kubernetes or containerized workloads.
DevOps or platform experience (CI/CD, infrastructure-as-code, monitoring).
Analytics experience (data modeling, working directly with analysts or stakeholders).
Experience integrating with external APIs and managing schema or contract changes.
History of improving data reliability, latency, or cost at scale.
Experience as a technical mentor—reviewing code, setting standards, and helping the team make better engineering decisions
Can explain why a system is built a certain way, not just how.
Benefits
Opportunity to work from home
Excellent work environment
Medical, dental, and vision insurance
Up to 15 days of paid time off
11 company observed holidays
8 weeks of paid parental leave
401k plan with company match
Life insurance
Professional growth opportunity
Most importantly, an inclusive company culture established by an incredible team!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now
Location: Northeast - CT United States
Job Description:
Join Us!
HealthCare.com has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, the company has developed customized proprietary products to better fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance.
About the Role
We’re hiring a Data Engineer to help own and scale our core data platform. This role is hands-on and production-focused: you’ll design, build, and maintain data pipelines that power analytics, machine learning, and operational systems.
We’re especially interested in candidates who combine strong data engineering fundamentals with either analytics depth or DevOps / platform experience.
What You’ll Do
Design, build, and maintain production-grade data pipelines using Airflow and AWS services like Lambda, DynamoDB
Own data ingestion from internal systems and third-party integrations (e.g., Google, Bing, external APIs).
Manage data storage and movement across S3, Snowflake, Snowpipe, and DynamoDB.
Write and maintain custom Python code that runs reliably in production.
Work across dev, staging, and production environments with proper deployment and rollback practices.
Partner with analytics, data science, and product teams to design reliable, usable data models.
Review code, mentor junior engineers, and help establish best practices for data quality, reliability, and observability.
Identify and fix performance, cost, or reliability issues in existing pipelines.
What We’re Looking For
Core Requirements
Strong experience building and maintaining production data pipelines.
Deep comfort with Python for data engineering (not just scripting).
Hands-on experience with Airflow in a real production environment.
Experience working in AWS, including S3 and managed services.
Solid SQL skills and experience working with analytical warehouses (Snowflake strongly preferred).
Experience operating systems across multiple environments (dev / prd).
Ability to mentor others through code review, design discussions, and troubleshooting.
Bonus Skills
Experience with Kubernetes or containerized workloads.
DevOps or platform experience (CI/CD, infrastructure-as-code, monitoring).
Analytics experience (data modeling, working directly with analysts or stakeholders).
Experience integrating with external APIs and managing schema or contract changes.
History of improving data reliability, latency, or cost at scale.
Experience as a technical mentor—reviewing code, setting standards, and helping the team make better engineering decisions
Can explain why a system is built a certain way, not just how.
Benefits
Opportunity to work from home
Excellent work environment
Medical, dental, and vision insurance
Up to 15 days of paid time off
11 company observed holidays
8 weeks of paid parental leave
401k plan with company match
Life insurance
Professional growth opportunity
Most importantly, an inclusive company culture established by an incredible team!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now